Operations | Monitoring | ITSM | DevOps | Cloud

Selector offers comprehensive monitoring, observability, and AIOps solutions for service providers and enterprises. The process begins with collecting, aggregating, and analyzing multi-domain operational data from various sources, such as SNMP, streaming telemetry, syslogs, and Kafka. Selector then applies advanced AI/ML techniques to power features such as anomaly detection, event correlation, root cause analysis (RCA), smart alerting, and a conversational GenAI-driven chat tool, Selector Copilot.

What's the secret to achieving the right balance for your platform?

Role: DevOps (Development and Operations) is a cultural and professional movement that focuses on collaboration between software development and IT operations teams, aiming to automate and streamline the software delivery process.

I wish someone had told me that I shouldn’t hop between frameworks. Just like learning four programming languages in your first year, in my experience spending time content switching as a beginner is wasted effort. If I’d spent a solid year learning how to deploy services on AWS, then when it was time to learn Azure, I’d see more similarities than differences and find it a lot easier to pick up a second public cloud.

To become battle-tested, you need to go through battles, not just read books or mentor newcomers. Both are helpful but the stakes are low. On the other hand, high stake jobs, such as running a big project or managing a team, are hard to get when you lack experience. So how can we solve this dilemma? Enter incident response.

The 2024 SRE Report highlights a pivotal shift in how organizations approach the reliability and monitoring of their services, especially those that extend beyond their direct control. According to the report, 64% of organizations now recognize the importance of monitoring productivity or experience-disrupting endpoints, even beyond their physical control.

Software complexity makes it harder for teams to rapidly identify and resolve issues. IT service management has evolved from an afterthought to a central part of DevOps. Microservices architectures are prone to delay or missed identification of such concerns. Monitoring mechanisms need to keep up with these complex infrastructures. Maintaining reliability and performance while harnessing this complexity requires a considered, data-driven approach.

Chasing shiny new toys, as always ;)